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New study reveals fine detail on location and scale of mining sites worldwide
https://news.mongabay.com/2023/05/new-study-reveals-fine-detail-on-location-and-scale-of-mining-sites-worldwide/
We live at the center of a spiderweb of global mining supply chains. The vehicle that took you to the market, the rechargeable battery in your headphones, and the phone or computer you’re reading this article on right now — all required the extraction, processing, transport and sale of minerals that likely originated from points all over the planet. But measuring the cumulative impact of these supply chains, which can span multiple continents and involve dozens of entities, formal and informal, is a tricky business. A new study published in the journal Communications Earth & Environment may have just given a big boost to anyone looking for a clear picture of what those supply chains look like at their point of origin. Using high-resolution satellite data, researchers meticulously pored over images from across the globe, isolating and marking the boundaries of a combined 65,585 square kilometers (25,323 square miles) of mining sites. The data set, which includes large-scale mining operations as well as informal artisanal sites, is one of the most detailed ever created. And to make sure that others can build off their work, the study’s authors have made it available to the public for free.
https://news.mongabay.com/2023/05/new-study-reveals-fine-detail-on-location-and-scale-of-mining-sites-worldwide/
We live at the center of a spiderweb of global mining supply chains. The vehicle that took you to the market, the rechargeable battery in your headphones, and the phone or computer you’re reading this article on right now — all required the extraction, processing, transport and sale of minerals that likely originated from points all over the planet. But measuring the cumulative impact of these supply chains, which can span multiple continents and involve dozens of entities, formal and informal, is a tricky business. A new study published in the journal Communications Earth & Environment may have just given a big boost to anyone looking for a clear picture of what those supply chains look like at their point of origin. Using high-resolution satellite data, researchers meticulously pored over images from across the globe, isolating and marking the boundaries of a combined 65,585 square kilometers (25,323 square miles) of mining sites. The data set, which includes large-scale mining operations as well as informal artisanal sites, is one of the most detailed ever created. And to make sure that others can build off their work, the study’s authors have made it available to the public for free.
Open database on global coal and metal mine production
https://zenodo.org/record/7328050#.Y7_kExWZND8
This data set covers global extraction of coal and metal ores on an individual mine level. It covers 1171 individual mines in 80 different countries, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products,as well as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective source documents. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.
https://zenodo.org/record/7328050#.Y7_kExWZND8
This data set covers global extraction of coal and metal ores on an individual mine level. It covers 1171 individual mines in 80 different countries, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products,as well as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective source documents. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.
Article, A global-scale data set of mining areas
https://www.nature.com/articles/s41597-020-00624-w
The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10?km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277?km2. The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure.
https://www.nature.com/articles/s41597-020-00624-w
The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10?km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277?km2. The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure.
Austalian Mines Dataset
https://catalogue.data.wa.gov.au/dataset/operating-mines/resource/f5453f34-2f4d-40b8-8b66-365b39351eec?inner_span=True
MINEDEX provides a coordinated, project-based enquiry system for textual information on mine, deposits, prospects, etc., and related infrastructure. The Operating Mine Map custom data extract is a regularly-updated point representation of the State's mines that have a Status of either operating or under development that appear on an annually produced map. The mines are automatically selected by Status and updated regularly.
https://catalogue.data.wa.gov.au/dataset/operating-mines/resource/f5453f34-2f4d-40b8-8b66-365b39351eec?inner_span=True
MINEDEX provides a coordinated, project-based enquiry system for textual information on mine, deposits, prospects, etc., and related infrastructure. The Operating Mine Map custom data extract is a regularly-updated point representation of the State's mines that have a Status of either operating or under development that appear on an annually produced map. The mines are automatically selected by Status and updated regularly.
Advanced Semiconductor Supply Chain Dataset
https://eto.tech/dataset-docs/chipexplorer/
The Advanced Semiconductor Supply Chain Dataset includes manually compiled, high-level information about the tools, materials, processes, countries, and firms involved in the production of advanced logic chips. The current version of the dataset reflects how researchers understood this supply chain in early 2021. It uses a wide variety of sources, such as corporate websites and disclosures, specialized market research, and industry group publications.
https://eto.tech/dataset-docs/chipexplorer/
The Advanced Semiconductor Supply Chain Dataset includes manually compiled, high-level information about the tools, materials, processes, countries, and firms involved in the production of advanced logic chips. The current version of the dataset reflects how researchers understood this supply chain in early 2021. It uses a wide variety of sources, such as corporate websites and disclosures, specialized market research, and industry group publications.
Data Set—Real-World Multiechelon Supply Chains Used for Inventory Optimization 2
https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176/suppl_file/msom.1070.0176-sm-data_set.pdf
Appendix to dataset
https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176/suppl_file/msom.1070.0176-sm-data_set.pdf
Appendix to dataset
Data Set—Real-World Multiechelon Supply Chains Used for Inventory Optimization 1
https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176
Suppy chain dataset from 2007.
https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176
Suppy chain dataset from 2007.